SCIESCOPUS
Applied Fruit Science
SPRINGER, Germany
Applied Fruit Science is an academic journal published by SPRINGER (Germany). Identifiers: ISSN 2948-2623, eISSN 2948-2631. Indexed in SCIE, SCOPUS. Metrics: CiteScore 0.3. Subject areas: HORTICULTURE. tlooto lists 1,515 papers from this journal.
CiteScore
0.30
Scopus citation metric
SJR
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SCImago rank
SNIP
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Source normalized impact
Percentage rank
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JIF percentile rank
Journal profile
- ISSN
- 2948-2623
- eISSN
- 2948-2631
- Abbreviation
- APPL FRUIT SCI
- Publisher
- SPRINGER
- Country
- Germany
Web of Science categories
SCIEHORTICULTURE
Scopus ASJC categories
1108 Horticulture
Keywords
Horticulture
Papers in this journal
Recent papers
- An Efficient Preservation Method for Sweet Orange (Citrus Sinensis) Fruits in Nigeria
2026
- Problems in Citrus Production Activities in Turkey: The Case of Antalya
2026
- Seasonal Reinfestation of Ceratitis capitata Wiedemann (Diptera: Tephritidae) in Continental Climates: The Role of Fruit Transport in Uşak Province
2026
- Erratum to: Socioeconomic and Perceptual Drivers of Climate Change Impact Perceptions Among Peach Farmers: Evidence from Çanakkale, Türkiye
2026
- Influence of Graded Levels of Vermicompost Integrated with Farmyard Manure Extract-based Fertigation on Yield, Fruit Quality and Soil Microbial Population of Strawberry (Fragaria×ananassa Duch.) Cv. ‘Winter Dawn’
2026
Most cited papers
- Vision Transformer-Capsule Network for Orange Quality Inspection: Ripeness and Black Spot Disease Detection
2025 · 73 citations
- Hybrid ViT-ResNet: A High-Accuracy AI Model for Automated Strawberry Ripeness Classification in Precision Agriculture
2025 · 63 citations
- Optimizing Pear Leaf Disease Detection Through PL-DenseNet
2025 · 29 citations
- PapNet: An AI-Driven Approach for Early Detection and Classification of Papaya Leaf Diseases
2025 · 21 citations
- Application and Prospects of Artificial Intelligence (AI)-Based Technologies in Fruit Production Systems
2025 · 20 citations